Estimating Winning Probability for Texas Hold'em Poker
نویسندگان
چکیده
منابع مشابه
Estimating the Probability of Winning for Texas Hold’em Poker Agents
The development of an autonomous agent that plays Poker at human level is a very difficult task since the agent has to deal with problems like the existence of hidden information, deception and risk management. To solve these problems, Poker agents use opponent modeling to predict the opponents next move and thereby determine its next action. In this paper are described several methods to measu...
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The game of poker presents an interesting and complex problem for game theorists and researchers in machine learning. Current work on the subject focuses on how to develop optimal counter strategies, often referring to the Upper Confidence Bounds (UCB1) algorithm to determine which of these counter strategies is optimal for an unknown opponent. We present a new method for taking a learned set o...
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We present a Texas Hold’em poker player for limit headsup games. Our bot is designed to adapt automatically to the strategy of the opponent and is not based on Nash equilibrium computation. The main idea is to design a bot that builds beliefs on his opponent’s hand. A forest of game trees is generated according to those beliefs and the solutions of the trees are combined to make the best decisi...
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Computers have difficulty learning how to play Texas Hold’em Poker. The game contains a high degree of stochasticity, hidden information, and opponents that are deliberately trying to mis-represent their current state. Poker has a much larger game space than classic parlour games such as Chess and Backgammon. Evolutionary methods have been shown to find relatively good results in large state sp...
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No-Limit Texas Hold’em is a stochastic game of imperfect information. Cards are dealt randomly, and players try to hide which cards they are holding from their opponents. Randomness and imperfect information give Poker, in general, and No-Limit Texas Hold’em, in particular, a very large decision space when it comes to making betting decisions. Evolutionary algorithms and artificial neural netwo...
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ژورنال
عنوان ژورنال: International Journal of Machine Learning and Computing
سال: 2013
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2013.v3.275